Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit254-01-20020217_215000_20020218_023400-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/02/17 |
Start Time | | 2002/02/17 21:50 |
End Time | | 2002/02/18 02:32 |
Key Words | | Facsko et al 2016: 1-year run of GUMICS |
Model | | GUMICS |
Model Version | | 4-HC |
Validation Level | | 1 |
Coordinate System for Input | | GSM |
Coordinate System for Output | | GSE |
Dipole Tilt, in the X-Z Plane, at Start deg | | 16.63 |
Dipole Tilt, in Y-Z GSE plane, deg | | -30.72 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 192.00000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit254-01-20020217_215000_20020218_023400-constBx0 |
Minimum Dst Value | | -11 |
SW Source | | DSCOVR-realtime |
Diagnostic Indices | | NO |
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View interactive javascript plot of satellite positions during this run in a new window.
Model values plot for Cluster-2 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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